Akademik Dersler - Tanıtım


Code - Course Title	İST456 - Multivariate Statistical Analysis
Course Type	Area Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	4.5
Course Instructor(s)	ÖĞRETİM GÖREVLİSİ DOKTOR HALİL ERYILMAZ
Mode of Delivery	The mode of delivery of this course is face to face.
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	There is no recommended optional programme component for this course.
Recommended Reading List	Applied Multivariate Statistical Analysis, Johnson and Wichern, 2004.
Assessment methods and criteria	2 Mid-term and 1 Final Exams. Exams will be applied by classical method.
Work Placement	Not available.
Sustainability Development Goals

Weeks	Topics
Week - 1	Classical linear regression model
Week - 2	Multivariate multiple regression
Week - 3	Multivariate multiple regression
Week - 4	Separation and classification problems
Week - 5	Separation and classification problems
Week - 6	Logistic regression and classification
Week - 7	Logistic regression and classification
Week - 8	Logit model
Week - 9	Binary logistic regression
Week - 10	Correspondence analysis
Week - 11	Correspondence analysis
Week - 12	Path analysis
Week - 13	Reliability analysis
Week - 14	Reliability analysis

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0